Squid helper handling squidguard blacklists written in python
.gitignore | ||
config.py.sample | ||
LICENSE | ||
py-squid-blacklists-cdb.py | ||
py-squid-blacklists.py | ||
README.md |
py-squid-blacklists
Squid helper handling squidguard blacklists written in python
- Only supports domains blacklists actually (ie : google.com, www.google.com, mail.google.com, etc.)
- In config specified blacklists are loaded in RAM or CDB backend using https://github.com/acg/python-cdb (testing flavour is available)
- Usable as an external acl plugin of squid
- Written because of poor developpement on squidguard and bad support of blacklists files using squid3
- Tested on Debian 8 / python 2.7.9 / squid 3.4.8
## Usage
Add this configuration to squid.conf :
external_acl_type urlblacklist_lookup ttl=5 %URI /usr/bin/python /usr/local/blacklists/py-squid-blacklists.py
...
acl urlblacklist external urlblacklist_lookup
...
http_access deny urlblacklist
config.py file must be include following statements
url = "http://dsi.ut-capitole.fr/blacklists/download/blacklists.tar.gz"
base_dir = "/usr/local/py-squid-blacklists/blacklists/"
categories = ["adult","malware"]
db_backend = "ram"
- url : squidguard-like blacklists files, this variable is not already usable
- categories : blacklists to use for filtering
- base_dir : path containing blacklists files
- db_backend : database flavour (ram|cdb)
TODO
- Auto-fetcher using url if blacklists are not already downloaded or stored on the squid machine
- Compatibility with python3 only
- Filters for regex urls
- Reduce memory footprint (wip with CDB backend alternative)
- Code optimisation (wip)
- Object oriented programming (wip)
- Tests (wip)
- ...
DBs support ideas
- High performance but heavy RAM usage when using dict()
- Sqlite3 tested, light memory footprint, but very slow
- CDB backend testing